Best use case
content-source-aggregator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
> 统一信息源热点采集器——从 16+ 平台采集热门内容，生成结构化热点池
Teams using content-source-aggregator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/content-source-aggregator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How content-source-aggregator Compares
| Feature / Agent | content-source-aggregator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
> 统一信息源热点采集器——从 16+ 平台采集热门内容，生成结构化热点池
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# content-source-aggregator > 统一信息源热点采集器——从 16+ 平台采集热门内容，生成结构化热点池 ## 使用场景 - 每日多平台热点自动采集（微博/知乎/头条/抖音/B站/GitHub/YouTube/Twitter/Reddit/HackerNews 等） - 内容管线上游数据源，为 content-factory 提供原始热点 - 海外源自动走代理（Clash），国内源直连 ## 使用方法 ```bash # 采集所有平台 python ~/clawd/skills/content-source-aggregator/scripts/fetch_all.py # 只采集指定平台 python fetch_all.py --source github python fetch_all.py --source hackernews # Dry run（只打印不保存） python fetch_all.py --dry-run ``` ## 支持平台（16+） | 分类 | 平台 | |------|------| | 国内社交 | 微博、知乎、头条、抖音 | | 国内社区 | B站、LinuxDo、小红书 | | 海外社交 | Twitter/X、Reddit、YouTube | | 开发者 | GitHub Trending、HackerNews、ArXiv、ProductHunt | | 微信生态 | 微信公众号（搜狗）、微信视频号（无 API） | ## 配置要求 - Python 3.10+, curl - 代理（海外源）：`CONTENT_PROXY` 环境变量（默认 `http://127.0.0.1:7897`） - Cookie 文件（可选）：`~/.playwright-data/linuxdo/cookies.txt`、`xiaohongshu/cookies.txt` 等 - 配置文件：`scripts/config.json`（账号列表、subreddit、频道 ID、优先级等） - 输出目录：`~/clawd/workspace/content-pipeline/hotpool/` ## 相关文件 - `scripts/fetch_all.py` — 采集主脚本 - `scripts/config.json` — 平台配置（账号、优先级等） - `~/clawd/workspace/content-pipeline/hotpool/` — 热点池输出
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